Are Custom GPTs being deprecated?

No. OpenAI explicitly said Custom GPTs remain supported. Workspace Agents are a new capability, not a replacement. GPT Store still works.

Will my Custom GPTs stop working when the conversion tool ships?

No. The conversion tool is optional. Your GPTs keep working either way.

Can I share a Workspace Agent externally like a GPT Store listing?

No. Workspace Agents are workspace-internal. If you need external distribution, Custom GPTs remain the path.

How do I know if my use case should be an agent or a GPT?

Ask: does a human need to message it every time? If yes, GPT. If the task should run without a user message — on a schedule, on an event, as part of a workflow — it's an agent.

OpenAI Workspace Agents vs Custom GPTs

Every Custom GPT owner has the same question: do I have to rebuild this? The short answer is no. The longer answer is that the two tools solve different problems, and you'll want both in your stack for the next year or two. This page covers what actually changed, the specific feature gaps, and how to decide which of your existing GPTs to migrate.

Verdict

Custom GPTs remain fine for what they always were: configured assistants for a single repeated task, invoked from ChatGPT when a user needs them. Workspace Agents are a new thing: autonomous team members that run continuously, span multiple tools, and are owned by the workspace rather than by an individual.

Pick Workspace Agents when

The task has multiple steps that should chain without human prompting
The task runs on a schedule or in response to events, not a user's chat message
The task needs to read/write to external systems (HubSpot, Slack, Drive) with admin-governed permissions
Multiple teammates need to own/maintain the agent collectively
The task needs persistent memory across sessions

Pick Custom GPTs when

A single-prompt assistant with custom instructions and knowledge files
Personal productivity tool that doesn't need team-wide ownership
Lightweight 'read this doc and answer questions about it' bots
Published/shared GPTs in the GPT Store (Workspace Agents don't publish externally)
Simpler governance — if admin controls and audit logs are overkill for the use case

Side-by-side

Dimension	OpenAI Workspace Agents	Custom GPTs
Execution model	Multi-step, long-running, autonomous. Can run when user is offline.	Single user-invoked interaction per session.
Ownership	Team/workspace-scoped with admin controls.	Individual-owned, optionally shared with others.
Memory	Persistent, per-agent memory that accumulates across runs.	No persistent memory across sessions (beyond knowledge files).
Connectors / Actions	Native connectors for major SaaS; Actions framework for custom APIs.	Actions framework only. Must be manually configured per GPT.
Distribution	Internal to the workspace.	Optionally published to the GPT Store; internal or shared.
Triggers	Scheduled, event-driven, or on-demand.	User message only.
Governance	Admin controls on tools, connectors, builder roles, and audit logs.	Basic sharing controls. Actions permissions are per-GPT.

The mental model shift

A Custom GPT is an assistant you talk to. A Workspace Agent is a colleague you delegate to. That mental shift is the biggest change. When you build a Custom GPT, you think about 'what should the assistant do when someone asks?' When you build a Workspace Agent, you think about 'what should this teammate do when X event happens?' Different frame, different design.

The migration tool timeline

OpenAI has said a conversion tool from Custom GPTs to Workspace Agents is coming. As of the April 2026 launch, it isn't shipped. Even when it arrives, it will only port the system prompt and knowledge; you'll still need to add connectors, configure triggers, and test. Plan 30–50% of original build time for migration, not 5 minutes.

When NOT to migrate

If a Custom GPT works, do nothing. The temptation to migrate 'because agents are new' burns time with no ROI. A GPT that answers one-off questions about a policy document is perfectly served by a GPT. Don't rebuild what works.

When to seriously consider migrating

A GPT that people paste messages into daily to run the same chain of actions — that's an agent-shaped problem. If your team has a GPT they use every Monday morning for pipeline review, or every Friday for a report draft, it belongs as an agent.

Questions

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